At a Glance
- Tasks: Enhance RNA databases and manage data pipelines while collaborating with diverse teams.
- Company: Sebibc, a leading bioinformatics organisation based in Cambridge.
- Benefits: Hybrid working model, flexible hours, and opportunities for community outreach.
- Other info: Dynamic work environment with opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a real impact in bioinformatics.
- Qualifications: Master’s degree, Python proficiency, and experience with relational databases.
The predicted salary is between 40000 - 50000 £ per year.
Sebibc is seeking a Bioinformatics Data Engineer based in Cambridge to enhance Rfam and RNAcentral databases. You will manage data pipelines, collaborate with cross-functional teams, and contribute to community outreach.
The ideal candidate has a Master’s in a relevant field, proficiency in Python, and strong experience with relational databases and workflow systems.
A hybrid working model is offered, requiring two days onsite in Hinxton and the rest flexible.
RNA Resources Bioinformatics Data Engineer - AI Pipelines in Cambridge employer: Sebibc
Sebibc is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Cambridge. With a strong emphasis on employee growth, we offer opportunities for professional development and community engagement, all while providing a flexible hybrid working model that promotes work-life balance. Join us to be part of a team that is dedicated to advancing bioinformatics and making a meaningful impact in the scientific community.
StudySmarter Expert Advice🤫
We think this is how you could land RNA Resources Bioinformatics Data Engineer - AI Pipelines in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the bioinformatics field on LinkedIn or at local meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects, especially those involving Python and data pipelines, make sure to share them during interviews. It’s a great way to demonstrate your expertise.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of relational databases and workflow systems. We all know they love to test your technical know-how, so be ready to dive deep.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace RNA Resources Bioinformatics Data Engineer - AI Pipelines in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and relational databases. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about bioinformatics and how you can contribute to enhancing Rfam and RNAcentral. Let us know what excites you about this opportunity!
Showcase Collaboration Skills:Since this role involves working with cross-functional teams, make sure to mention any collaborative projects you've been part of. We love seeing how you work with others to achieve common goals!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Sebibc
✨Know Your Bioinformatics Basics
Make sure you brush up on your bioinformatics knowledge, especially around Rfam and RNAcentral databases. Be ready to discuss how your background and skills can enhance these resources, as this will show your genuine interest in the role.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python during the interview. You might be asked to solve a problem or explain how you've used Python in past projects, so have some examples ready that highlight your coding abilities and experience with data pipelines.
✨Understand Relational Databases
Since strong experience with relational databases is key for this role, make sure you can talk about your experience with them. Be prepared to discuss specific systems you've worked with and how you've managed data effectively in those environments.
✨Emphasise Collaboration and Outreach
This position involves working with cross-functional teams and contributing to community outreach. Think of examples where you've successfully collaborated with others or engaged with the community, as this will demonstrate your teamwork skills and commitment to the field.
